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- AIME project: "Artificial Intelligence for Marine Ecosystems".
The project addresses three scientific challenges: the combination or hybridization of AI techniques,
the development of marine ecosystem health indicators, and integrative models to explain and predict
the spatio-temporal dynamics of marine biodiversity.
- Subsistance project: "Marine Subsistence Biodiversity in the West Pacific: Current Status and Gaps".
The project aims to develop (i) a reference list of marine invertebrate species currently consumed by
coastal communities and (ii) an automated tool for identifying fished species, based on artificial
intelligence (deep learning) image recognition techniques.
Below: competencies in black when any are unique to
C. Iovan's profile in the current state of the database
/ algorithmics / artificial intelligence / artificial neural network / automatic learning / biocoenosis / biodiversity / biodiversity (marine) / capacity building / classification - typology / community (recifal) / computer graphics / computer science / computer vision / coral reef / data (georeferenced) / data (satellite) / data poor context / data processing / dynamical system / ecosystem (coastal) / ecosystem (lagoon or reef) / ecosystem (marine) / education - pedagogy / fishes / habitat (marine) / image processing / lagoon / machine - deep learning / mangrove / model (spatially explicit) / MODELLING / multi-sensor approach / New Caledonia / ocean water colour / Pacific ocean (inter-tropical) / pattern recognition / remote sensing / remote sensing VHSR (Very High Spatial Resolution) / SDG 04 (Sust. Devel. Goal - Education) / SDG 11 (Sust. Devel. Goal - Cities) / SDG 14 (Sust. Devel. Goal - Oceans) / seamount / signal processing / South Pacific Islands / South Western Tropical Pacific Ocean / training (fr: formation) / UAV (Unmanned Aerial Vehicle, drone) / UMR Entropie (Tropic. Mar. Ecol. Pacific Indian Oceans) / urban computing /
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